Manual deployments and inconsistent environments continue to be a major challenge for data teams. In this session, we’ll explore how to apply DataOps principles using Azure DevOps, Infrastructure-as-Code (Bicep), and GitHub Actions to create secure, automated, and repeatable data pipelines. We’ll walk through real-world examples of deploying Azure SQL, Synapse, and Microsoft Fabric environments, highlighting how to integrate policy-driven governance and security controls from the start. By the end, attendees will see how automation can reduce MTTR, improve deployment frequency, and increase confidence in enterprise-scale data platforms.

Learning Objectives:

Understand how DataOps principles apply to modern Microsoft Data Platform projects.

Learn how to use Bicep templates and CI/CD pipelines to automate deployments.

Discover strategies for embedding security and governance into automated pipelines.